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Q 1 After training a neural network, you observe a big gap between your training accuracy ( 1 0 0 % ) and the test
Q After training a neural network, you observe a big gap between your training accuracy
and the testvalidation accuracy Which of the following approaches would you use to reduce
this gap?
a Generative Adversarial Networks GAN
b Softmax activation
c Higher learning rates during backpropagation
d Dropout regularization
e Crossentropy loss function
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